1

Computer Science Analyst Jobs in Louisiana (NOW HIRING)

Senior Sales Analyst

Baton Rouge, LA · On-site

$80K - $86K/yr

Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, Math, Sciences, or a related field (Master's degree preferred). * 2+ years of experience in analytics, commercial ...

Data Scientist III

Iowa, LA · On-site

$90 - $153.30/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field * 5+ years (or 3+ years with a masters) of professional experience in analytics ...

Master's degree in Human Resources, Business Administration, Information Systems, Computer Science ... Strong analytical, problem-solving, and troubleshooting skills with the ability to interpret data ...

Showing results 41-60

Computer Science Analyst information

See Louisiana salary details

$12

$29

$56

How much do computer science analyst jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for computer science analyst in Louisiana is $29.12, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $33.89 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a computer science analyst?

To thrive as a Computer Science Analyst, you need a solid background in programming, data analysis, and problem-solving, usually supported by a degree in computer science or a related field. Familiarity with analytical tools such as SQL, Python, data visualization software, and sometimes certifications like CompTIA Data+ or Microsoft Certified: Data Analyst Associate is highly beneficial. Strong analytical thinking, attention to detail, and effective communication set top performers apart in this position. These skills ensure that analysts can interpret complex data, provide actionable insights, and collaborate effectively to support organizational goals.

How does a computer science analyst typically collaborate with other departments within an organization?

Computer Science Analysts frequently work cross-functionally, partnering with teams such as software development, IT, and business operations to analyze data, improve systems, and implement technology solutions. They often act as a bridge between technical specialists and non-technical stakeholders, translating business needs into actionable technical requirements. Effective communication and collaboration are crucial, as analysts may participate in meetings, provide regular updates, and help troubleshoot challenges that arise during project implementation.

What are popular job titles related to Computer Science Analyst jobs in Louisiana?

For Computer Science Analyst jobs in Louisiana, the most frequently searched job titles are:

What job categories do people searching Computer Science Analyst jobs in Louisiana look for?

The top searched job categories for Computer Science Analyst jobs in Louisiana are:

Infographic showing various Computer Science Analyst job openings in Louisiana as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $60,571 per year, or $29.1 per hour.

DATA SCIENTIST

US Department of the Air Force

Barksdale Air Force Base, LA • On-site

$49K/yr

Full-time, Part-time

Re-posted 11 days ago


Job description

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.Qualifications:BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following:
a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.
2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.
4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.
5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.
6. Ability to plan and organize work and confer with co-workers effectively.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER